Extension: Runtime Governance at the Execution Boundary: Why AI Compliance Fails Between Prediction and Action
Runtime Governance at the Execution Boundary: Why AI Compliance Fails Between Prediction and Action presents the following source proposition: Current governance approaches operate around models, not within the decision path. This proposition is pertinent to Kaal's source-bound claim that Because 63.47 percent of the sampled agreements were executed even after the corporation had already instituted preemptive remedial measures, the current quantity, quality, comprehensiveness, and effectiveness of those preemptive measures may be insufficient to prevent an agreement. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.
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